There are various types of graphs depending upon the number of vertices, number of edges, interconnectivity, and their overall structure. We will discuss only a certain few important types of graphs in this chapter.

__Null Graph__

__Null Graph__

A **graph having no edges** is called a Null Graph.

**Example**

In the above graph, there are three vertices named ‘a’, ‘b’, and ‘c’, but there are no edges among them. Hence it is a Null Graph.

__Trivial Graph__

__Trivial Graph__

A **graph with only one vertex** is called a Trivial Graph.

**Example**

In the above shown graph, there is only one vertex ‘a’ with no other edges. Hence it is a Trivial graph.

__Non-Directed Graph__

__Non-Directed Graph__

A non-directed graph contains edges but the edges are not directed ones.

**Example**

In this graph, ‘a’, ‘b’, ‘c’, ‘d’, ‘e’, ‘f’, ‘g’ are the vertices, and ‘ab’, ‘bc’, ‘cd’, ‘da’, ‘ag’, ‘gf’, ‘ef’ are the edges of the graph. Since it is a non-directed graph, the edges ‘ab’ and ‘ba’ are same. Similarly other edges also considered in the same way.

__Directed Graph__

__Directed Graph__

In a directed graph, each edge has a direction.

**Example**

In the above graph, we have seven vertices ‘a’, ‘b’, ‘c’, ‘d’, ‘e’, ‘f’, and ‘g’, and eight edges ‘ab’, ‘cb’, ‘dc’, ‘ad’, ‘ec’, ‘fe’, ‘gf’, and ‘ga’. As it is a directed graph, each edge bears an arrow mark that shows its direction. Note that in a directed graph, ‘ab’ is different from ‘ba’.

__Simple Graph__

__Simple Graph__

A graph **with no loops** and **no parallel edges** is called a simple graph.

· The maximum number of edges possible in a single graph with ‘n’ vertices is ^{n}C_{2} where ^{n}C_{2} = n(n – 1)/2.

· The number of simple graphs possible with ‘n’ vertices = 2^{n}c_{2} = 2^{n(n-1)/2}.

**Example**

In the following graph, there are 3 vertices with 3 edges which is maximum excluding the parallel edges and loops. This can be proved by using the above formulae.

The maximum number of edges with n=3 vertices −

^{n}C_{2}= n(n–1)/2

= 3(3–1)/2

= 6/2

= 3 edges

The maximum number of simple graphs with n=3 vertices −

2^{n}C_{2}= 2^{n(n-1)/2}

= 2^{3(3-1)/2}

= 2^{3}

= 8

These 8 graphs are as shown below −

__Connected Graph__

__Connected Graph__

A graph G is said to be connected **if there exists a path between every pair of vertices**. There should be at least one edge for every vertex in the graph. So that we can say that it is connected to some other vertex at the other side of the edge.

**Example**

In the following graph, each vertex has its own edge connected to other edge. Hence it is a connected graph.

__Disconnected Graph__

__Disconnected Graph__

A graph G is disconnected, if it does not contain at least two connected vertices.

**Example 1**

The following graph is an example of a Disconnected Graph, where there are two components, one with ‘a’, ‘b’, ‘c’, ‘d’ vertices and another with ‘e’, ’f’, ‘g’, ‘h’ vertices.

The two components are independent and not connected to each other. Hence it is called disconnected graph.

**Example 2**

In this example, there are two independent components, a-b-f-e and c-d, which are not connected to each other. Hence this is a disconnected graph.

__Regular Graph__

__Regular Graph__

A graph G is said to be regular, **if all its vertices have the same degree**. In a graph, if the degree of each vertex is ‘k’, then the graph is called a ‘k-regular graph’.

**Example**

In the following graphs, all the vertices have the same degree. So these graphs are called regular graphs.

In both the graphs, all the vertices have degree 2. They are called 2-Regular Graphs.

__Complete Graph__

__Complete Graph__

A simple graph with ‘n’ mutual vertices is called a complete graph and it is **denoted by ‘K _{n}’**. In the graph,

**a vertex should have edges with all other vertices,**then it called a complete graph.

In other words, if a vertex is connected to all other vertices in a graph, then it is called a complete graph.

**Example**

In the following graphs, each vertex in the graph is connected with all the remaining vertices in the graph except by itself.

In graph I,

a | b | c | |

a | Not Connected | Connected | Connected |

b | Connected | Not Connected | Connected |

c | Connected | Connected | Not Connected |

In graph II,

p | q | r | s | |

p | Not Connected | Connected | Connected | Connected |

q | Connected | Not Connected | Connected | Connected |

r | Connected | Connected | Not Connected | Connected |

s | Connected | Connected | Connected | Not Connected |

__Cycle Graph__

__Cycle Graph__

A simple graph with ‘n’ vertices (n >= 3) and ‘n’ edges is called a cycle graph if all its edges form a cycle of length ‘n’.

If the **degree of each vertex in the graph is two,** then it is called a Cycle Graph.

**Notation** − C_{n}

**Example**

Take a look at the following graphs −

· Graph I has 3 vertices with 3 edges which is forming a cycle ‘ab-bc-ca’.

· Graph II has 4 vertices with 4 edges which is forming a cycle ‘pq-qs-sr-rp’.

· Graph III has 5 vertices with 5 edges which is forming a cycle ‘ik-km-ml-lj-ji’.

Hence all the given graphs are cycle graphs.

__Wheel Graph__

__Wheel Graph__

A wheel graph is obtained from a cycle graph C_{n-1} by adding a new vertex. That new vertex is called a **Hub** which is connected to all the vertices of C_{n}.

**Notation** − W_{n}

No. of edges in W_{n}= No. of edges from hub to all other vertices +

No. of edges from all other nodes in cycle graph without a hub.

= (n–1) + (n–1)

= 2(n–1)

**Example**

Take a look at the following graphs. They are all wheel graphs.

In graph I, it is obtained from C_{3} by adding an vertex at the middle named as ‘d’. It is denoted as W_{4}.

Number of edges in W_{4}= 2(n-1) = 2(3) = 6

In graph II, it is obtained from C_{4} by adding a vertex at the middle named as ‘t’. It is denoted as W_{5}.

Number of edges in W_{5}= 2(n-1) = 2(4) = 8

In graph III, it is obtained from C_{6} by adding a vertex at the middle named as ‘o’. It is denoted as W_{7}.

Number of edges in W_{4}= 2(n-1) = 2(6) = 12

__Cyclic Graph__

__Cyclic Graph__

A graph **with at least one** cycle is called a cyclic graph.

**Example**

In the above example graph, we have two cycles a-b-c-d-a and c-f-g-e-c. Hence it is called a cyclic graph.

__Acyclic Graph__

__Acyclic Graph__

A graph **with no cycles** is called an acyclic graph.

**Example**

In the above example graph, we do not have any cycles. Hence it is a non-cyclic graph.

__Bipartite Graph__

__Bipartite Graph__

A simple graph G = (V, E) with vertex partition V = {V_{1}, V_{2}} is called a bipartite graph **if every edge of E joins a vertex in V _{1} to a vertex in V_{2}**.

In general, a Bipertite graph has two sets of vertices, let us say, V_{1} and V_{2}, and if an edge is drawn, it should connect any vertex in set V_{1} to any vertex in set V_{2}.

**Example**

In this graph, you can observe two sets of vertices − V_{1} and V_{2}. Here, two edges named ‘ae’ and ‘bd’ are connecting the vertices of two sets V_{1} and V_{2.}

__Complete Bipartite Graph__

__Complete Bipartite Graph__

A bipartite graph ‘G’, G = (V, E) with partition V = {V_{1}, V_{2}} is said to be a complete bipartite graph if every vertex in V_{1} is connected to every vertex of V_{2}.

In general, a complete bipartite graph connects each vertex from set V_{1} to each vertex from set V_{2}.

**Example**

The following graph is a complete bipartite graph because it has edges connecting each vertex from set V_{1} to each vertex from set V_{2}.

If |V_{1}| = m and |V_{2}| = n, then the complete bipartite graph is denoted by K_{m, n}.

· K_{m,n} has (m+n) vertices and (mn) edges.

· K_{m,n} is a regular graph if m=n.

In general, **a complete bipartite graph is not a complete graph**.

K_{m,n} is a complete graph if m=n=1.

The maximum number of edges in a bipartite graph with **n** vertices is

[

*n ^{2}*4

]

If n=10, k5, 5= ⌊*n ^{2}*4⌋ = ⌊

*10*4⌋ = 25

^{2}Similarly K6, 4=24

K7, 3=21

K8, 2=16

K9, 1=9

If n=9, k5, 4 = ⌊*n ^{2}*4⌋ = ⌊

*9*4⌋ = 20

^{2}Similarly K6, 3=18

K7, 2=14

K8, 1=8

‘G’ is a bipartite graph if ‘G’ has no cycles of odd length. A special case of bipartite graph is a **star graph**.

__Star Graph__

__Star Graph__

A complete bipartite graph of the form K_{1, n-1} is a star graph with n-vertices. A star graph is a complete bipartite graph if a single vertex belongs to one set and all the remaining vertices belong to the other set.

**Example**

In the above graphs, out of ‘n’ vertices, all the ‘n–1’ vertices are connected to a single vertex. Hence it is in the form of K_{1, n-1} which are star graphs.

**Complement of a Graph**

Let *‘G−’* be a simple graph with some vertices as that of ‘G’ and an edge {U, V} is present in *‘G−’*, if the edge is not present in G. It means, two vertices are adjacent in *‘G−’* if the two vertices are not adjacent in G.

If the edges that exist in graph I are absent in another graph II, and if both graph I and graph II are combined together to form a complete graph, then graph I and graph II are called complements of each other.

**Example**

In the following example, graph-I has two edges ‘cd’ and ‘bd’. Its complement graph-II has four edges.

Note that the edges in graph-I are not present in graph-II and vice versa. Hence, the combination of both the graphs gives a complete graph of ‘n’ vertices.

**Note** − A combination of two complementary graphs gives a complete graph.

If ‘G’ is any simple graph, then

|E(G)| + |E(*‘G-‘*)| = |E(K_{n})|, where n = number of vertices in the graph.

**Example**

Let ‘G’ be a simple graph with nine vertices and twelve edges, find the number of edges in *‘G-‘*.

You have, |E(G)| + |E(*‘G-‘*)| = |E(K_{n})|

12 + |E(*‘G-‘*)| =

9(9-1) / 2 = ^{9}C_{2}

12 + |E(*‘G-‘*)| = 36

|E(*‘G-‘*)| = 24

‘G’ is a simple graph with 40 edges and its complement *‘G−’* has 38 edges. Find the number of vertices in the graph G or *‘G−’*.

Let the number of vertices in the graph be ‘n’.

We have, |E(G)| + |E(*‘G-‘*)| = |E(K_{n})|

40 + 38 = n(n-1)2

156 = n(n-1)

13(12) = n(n-1)

n = 13

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